Skip to content

Artificial Intelligence’s Transformative Impact on Management, Strategy, and Workplace Dynamics: A Systematic Literature Review

Oct 2026 · JPAIR Multidisciplinary Research · 0 citations

TL;DR

This systematic literature review synthesizes interdisciplinary evidence on how AI transforms leadership and management functions, drives business model innovation, and alters workplace dynamics, with particular attention to Southeast Asian and Philippine contexts.

Abstract

The integration of artificial intelligence (AI) into organizations is reshaping management practice, competitive strategy, and the experience of work, yet scholarship remains fragmented across disciplines and is predominantly Western-centric. This systematic literature review synthesizes interdisciplinary evidence on how AI transforms leadership and management functions, drives business model innovation, and alters workplace dynamics, with particular attention to Southeast Asian and Philippine contexts. Peer-reviewed, English-language journal articles published between 2016 and 2025 addressing the organizational, strategic, or workforce implications of AI were included; purely technical studies and non-peer-reviewed materials were excluded from the corpus, with institutional reports used only for contextualization. Scopus, Web of Science, ABI/INFORM, Business Source Complete, and the ACM Digital Library were searched. Screening followed the PRISMA 2020 guidelines: 1,245 records were identified, and 128 studies met all inclusion criteria and were synthesized thematically. First, AI integration facilitates an augmented leadership model in which effective managers combine human judgment with algorithmic capability. Second, AI operates as a strategic capability that enables adaptive, data-centric business models. Third, workplace dynamics exhibit a bifurcation effect whereby AI augments some roles while displacing or deskilling others. The review contributes an integrative tripartite framework connecting leadership, strategy, and workforce transformation, and identifies priorities for research and policy in emerging economies. No protocol was registered.

Read PDF

Similar papers

Review Open access Sep 2026

The Effects of Artificial Intelligence on Middle Management Skills: A Systematic Literature Review

The rapid integration of artificial intelligence (AI) technologies into business processes is fundamentally transforming the traditional role of middle managers, who provide the critical link between strategy and operations in organizational hierarchies. AI-driven automation and decision systems are assuming routine ma...

Semih Sancar, Alper Camcı · 0 citations
Review Open access Sep 2026

Harnessing Artificial Intelligence in School Management: A Systematic Review of Applications, Challenges, and Future Directions

This systematic review examines artificial intelligence (AI) applications in K–12 school management, with a primary focus on administrative efficiency, organisational decision-making, leadership functions, and data-driven governance. It identifies critical challenges, including data privacy risks, infrastructural inequ...

M. Mokhtarzadeh · 0 citations
Review Open access Aug 2026

Artificial intelligence and the reconfiguration of competency management systems in organizations

The findings show that AI-related competency change extends beyond technical skills toward hybrid and portfolio-based configurations that integrate technical understanding, managerial judgment, learning agility, governance capabilities, and psychological readiness, and demonstrates that no single framework sufficiently...

Maryann Osadebamwen Asemota · 0 citations
#generative ai Review Open access Aug 2026

Does AI strengthen business leadership decision making: literature review

AI does not replace the role of executive leaders; instead, it serves as a cognitive aid that frees up a leader's capacity from routine operational tasks, yet it still requires the contextual intuition and ethical governance of human leaders.

Alifah Widya Rachmawati, Syamsul Hadi, Eni Purnasari et al. · 0 citations
Conference Open access Aug 2026

Mapping the Intellectual Structure of Artificial Intelligence in HRM

This study maps the intellectual structure of the Scopus-indexed literature and interprets its major research streams through a knowledge management lens, showing that AI-HRM research is organised around competing processes of knowledge codification, validation, transfer and use, while giving less attention to knowledg...

Rasti Blbas, D. Lewicka · 0 citations

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.